IDEAS home Printed from https://ideas.repec.org/p/hit/hiasdp/hias-e-132.html
   My bibliography  Save this paper

The Trend Effect of Foreign Exchange Intervention

Author

Listed:
  • FATUM, Rasmus
  • YAMAMOTO, Yohei
  • CHEN, Binwei

Abstract

The 2022 and the 2010-2011 Bank of Japan interventions provide an opportunity for investigating whether unusually large-scale and infrequent interventions are capable of generating trend effects. To this end, we estimate the counterfactual exchange rate and analyze structural changes in the level and the trend of the gap sequence between actual and counterfactual exchange rates. Our results show that the trend of the gap sequence reversed in the desired direction around the intervention dates, indicating that the intervention policy instrument is potentially powerful enough to generate long-term trend effects. This is an important insight not previously found in the intervention literature.

Suggested Citation

  • FATUM, Rasmus & YAMAMOTO, Yohei & CHEN, Binwei, 2023. "The Trend Effect of Foreign Exchange Intervention," Discussion paper series HIAS-E-132, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    • Handle: RePEc:hit:hiasdp:hias-e-132
    as

    Download full text from publisher

    File URL: https://hermes-ir.lib.hit-u.ac.jp/hermes/ir/re/80149/070_hiasDP-E-132.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fatum, Rasmus & Pedersen, Jesper, 2009. "Real-time effects of central bank intervention in the euro market," Journal of International Economics, Elsevier, vol. 78(1), pages 11-20, June.
    2. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    3. Kearns, Jonathan & Rigobon, Roberto, 2005. "Identifying the efficacy of central bank interventions: evidence from Australia and Japan," Journal of International Economics, Elsevier, vol. 66(1), pages 31-48, May.
    4. Engel, Charles & Wu, Steve Pak Yeung, 2023. "Forecasting the U.S. Dollar in the 21st Century," Journal of International Economics, Elsevier, vol. 141(C).
    5. Chih‐Nan Chen & Tsutomu Watanabe & Tomoyoshi Yabu, 2012. "A New Method for Identifying the Effects of Foreign Exchange Interventions," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(8), pages 1507-1533, December.
    6. Fratzscher, Marcel & Gloede, Oliver & Menkhoff, Lukas & Sarno, Lucio & Stöhr, Tobias, 2019. "When Is Foreign Exchange Intervention Effective? Evidence from 33 Countries," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 0(1), pages 132-156.
    7. Lukas Menkhoff & Malte Rieth & Tobias Stohr, 2021. "The Dynamic Impact of FX Interventions on Financial Markets," The Review of Economics and Statistics, MIT Press, vol. 103(5), pages 939-953, December.
    8. Fatum, Rasmus & Yamamoto, Yohei, 2016. "Intra-safe haven currency behavior during the global financial crisis," Journal of International Money and Finance, Elsevier, vol. 66(C), pages 49-64.
    9. Mohitosh Kejriwal & Pierre Perron, 2010. "A sequential procedure to determine the number of breaks in trend with an integrated or stationary noise component," Journal of Time Series Analysis, Wiley Blackwell, vol. 31(5), pages 305-328, September.
    10. Jushan Bai & Serena Ng, 2021. "Matrix Completion, Counterfactuals, and Factor Analysis of Missing Data," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1746-1763, October.
    11. Seung C. Ahn & Alex R. Horenstein, 2013. "Eigenvalue Ratio Test for the Number of Factors," Econometrica, Econometric Society, vol. 81(3), pages 1203-1227, May.
    12. Hanno Lustig & Nikolai Roussanov & Adrien Verdelhan, 2011. "Common Risk Factors in Currency Markets," The Review of Financial Studies, Society for Financial Studies, vol. 24(11), pages 3731-3777.
    13. Chamon, Marcos & Garcia, Márcio & Souza, Laura, 2017. "FX interventions in Brazil: A synthetic control approach," Journal of International Economics, Elsevier, vol. 108(C), pages 157-168.
    14. Xu, Yiqing, 2017. "Generalized Synthetic Control Method: Causal Inference with Interactive Fixed Effects Models," Political Analysis, Cambridge University Press, vol. 25(1), pages 57-76, January.
    15. Fatum, Rasmus & Hutchison, Michael M., 2010. "Evaluating foreign exchange market intervention: Self-selection, counterfactuals and average treatment effects," Journal of International Money and Finance, Elsevier, vol. 29(3), pages 570-584, April.
    16. Angelo Ranaldo & Paul Söderlind, 2010. "Safe Haven Currencies," Review of Finance, European Finance Association, vol. 14(3), pages 385-407.
    17. Perron, Pierre & Yabu, Tomoyoshi, 2009. "Estimating deterministic trends with an integrated or stationary noise component," Journal of Econometrics, Elsevier, vol. 151(1), pages 56-69, July.
    18. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    19. Christopher J. Neely, 2005. "An analysis of recent studies of the effect of foreign exchange intervention," Review, Federal Reserve Bank of St. Louis, vol. 87(Nov), pages 685-718.
    20. Dominguez, Kathryn M & Frankel, Jeffrey A, 1993. "Does Foreign-Exchange Intervention Matter? The Portfolio Effect," American Economic Review, American Economic Association, vol. 83(5), pages 1356-1369, December.
    21. Alexei Onatski, 2010. "Determining the Number of Factors from Empirical Distribution of Eigenvalues," The Review of Economics and Statistics, MIT Press, vol. 92(4), pages 1004-1016, November.
    22. Ryan Greenaway‐McGrevy & Nelson C. Mark & Donggyu Sul & Jyh‐Lin Wu, 2018. "Identifying Exchange Rate Common Factors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 59(4), pages 2193-2218, November.
    23. Jushan Bai, 2009. "Panel Data Models With Interactive Fixed Effects," Econometrica, Econometric Society, vol. 77(4), pages 1229-1279, July.
    24. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
    25. Kathryn M. E. Dominguez, 2020. "Revisiting Exchange Rate Rules," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 68(3), pages 693-719, September.
    26. Fatum, Rasmus & Yamamoto, Yohei, 2014. "Large versus small foreign exchange interventions," Journal of Banking & Finance, Elsevier, vol. 43(C), pages 114-123.
    27. Kuersteiner, Guido M. & Phillips, David C. & Villamizar-Villegas, Mauricio, 2018. "Effective sterilized foreign exchange intervention? Evidence from a rule-based policy," Journal of International Economics, Elsevier, vol. 113(C), pages 118-138.
    28. Alberto Abadie & Alexis Diamond & Jens Hainmueller, 2015. "Comparative Politics and the Synthetic Control Method," American Journal of Political Science, John Wiley & Sons, vol. 59(2), pages 495-510, February.
    29. Rasmus Fatum & Michael M. Hutchison, 2003. "Is sterilised foreign exchange intervention effective after all? an event study approach," Economic Journal, Royal Economic Society, vol. 113(487), pages 390-411, April.
    30. Ismailov, Adilzhan & Rossi, Barbara, 2018. "Uncertainty and deviations from uncovered interest rate parity," Journal of International Money and Finance, Elsevier, vol. 88(C), pages 242-259.
    31. Habib, Maurizio M. & Stracca, Livio, 2012. "Getting beyond carry trade: What makes a safe haven currency?," Journal of International Economics, Elsevier, vol. 87(1), pages 50-64.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xiong, Ruoxuan & Pelger, Markus, 2023. "Large dimensional latent factor modeling with missing observations and applications to causal inference," Journal of Econometrics, Elsevier, vol. 233(1), pages 271-301.
    2. Lukas Boer, 2019. "Measuring the Effect of Foreign Exchange Intervention Policies on Exchange Rates," DIW Roundup: Politik im Fokus 128, DIW Berlin, German Institute for Economic Research.
    3. Marcel Fratzscher & Tobias Heidland & Lukas Menkhoff & Lucio Sarno & Maik Schmeling, 2023. "Foreign Exchange Intervention: A New Database," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 71(4), pages 852-884, December.
    4. Freddy A. Pinzón-Puerto & Mauricio Villamizar-Villegas, 2023. "Do Actions Speak Louder than Words? A Foreign Exchange Intervention Analysis," Borradores de Economia 1223, Banco de la Republica de Colombia.
    5. Smita Roy Trivedi, 2020. "The Moses effect: can central banks really guide foreign exchange markets?," Empirical Economics, Springer, vol. 58(6), pages 2837-2865, June.
    6. Kathryn M. E. Dominguez, 2020. "Revisiting Exchange Rate Rules," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 68(3), pages 693-719, September.
    7. Kathryn M. E. Dominguez, 0. "Revisiting Exchange Rate Rules," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 0, pages 1-27.
    8. Yinchu Zhu, 2019. "How well can we learn large factor models without assuming strong factors?," Papers 1910.10382, arXiv.org, revised Nov 2019.
    9. Melvin, Michael & Menkhoff, Lukas & Schmeling, Maik, 2009. "Exchange rate management in emerging markets: Intervention via an electronic limit order book," Journal of International Economics, Elsevier, vol. 79(1), pages 54-63, September.
    10. Jeffrey Frankel, 2021. "Systematic Managed Floating," World Scientific Book Chapters, in: Steven J Davis & Edward S Robinson & Bernard Yeung (ed.), THE ASIAN MONETARY POLICY FORUM Insights for Central Banking, chapter 5, pages 160-221, World Scientific Publishing Co. Pte. Ltd..
    11. Ruoxuan Xiong & Markus Pelger, 2019. "Large Dimensional Latent Factor Modeling with Missing Observations and Applications to Causal Inference," Papers 1910.08273, arXiv.org, revised Jan 2022.
    12. HORIE, Tetsushi & 堀江, 哲史 & YAMAMOTO, Yohei & 山本, 庸平, 2016. "Testing for Speculative Bubbles in Large-Dimensional Financial Panel Data Sets," Discussion Papers 2016-04, Graduate School of Economics, Hitotsubashi University.
    13. Juan J. Echavarría & Luis F. Melo-Velandia & Mauricio Villamizar-Villegas, 2018. "The impact of pre-announced day-to-day interventions on the Colombian exchange rate," Empirical Economics, Springer, vol. 55(3), pages 1319-1336, November.
    14. Menkhoff, Lukas & Rieth, Malte & Stöhr, Tobias, 2021. "The Dynamic Impact of FX Interventions on Financial Markets," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 103(5), pages 939-953.
    15. Rafaty, Ryan & Dolphin, Geoffroy & Pretis, Felix, 2021. "Carbon Pricing and the Elasticity of CO2 Emissions," RFF Working Paper Series 21-33, Resources for the Future.
    16. Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," Papers 2311.15458, arXiv.org, revised Mar 2024.
    17. Fratzscher, Marcel & Gloede, Oliver & Menkhoff, Lukas & Sarno, Lucio & Stöhr, Tobias, 2019. "When Is Foreign Exchange Intervention Effective? Evidence from 33 Countries," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 0(1), pages 132-156.
    18. Dr. Fabian Fink & Dr. Lukas Frei & Dr. Oliver Gloede, 2020. "Short-term determinants of bilateral exchange rates: A decomposition model for the Swiss franc," Working Papers 2020-21, Swiss National Bank.
    19. Bruno Ferman & Cristine Pinto, 2021. "Synthetic controls with imperfect pretreatment fit," Quantitative Economics, Econometric Society, vol. 12(4), pages 1197-1221, November.
    20. Perez-Reyna, David & Villamizar-Villegas, Mauricio, 2019. "Exchange rate effects of financial regulations," Journal of International Money and Finance, Elsevier, vol. 96(C), pages 228-245.

    More about this item

    Keywords

    Foreign Exchange Intervention; Counterfactual Exchange Rate; Currency Factors; Synthetic Control Methods; Structural Changes;
    All these keywords.

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hit:hiasdp:hias-e-132. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Digital Resources Section, Hitotsubashi University Library (email available below). General contact details of provider: https://edirc.repec.org/data/ashitjp.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.